Once your model is trained, you must deploy the model on Abacus.AI platform to generate predictions. You can use the prediction dashboard to generate the predictions from the trained model. In this section the underlying prediction API and all other additional prediction API methods are discussed for the use case in consideration:
Method
predictLanguagePOST
CopyPOST
Predicts the language of the text
Arguments:
REQUIRED
KEY
TYPE
DESCRIPTION
Yes
deploymentToken
str
The deployment token used to authenticate access to created deployments. This token is only authorized to predict on deployments within this project, making it safe to embed this model in an application or website.
Yes
deploymentId
str
A unique string identifier for a deployment created under the project.
Yes
queryData
str
The input string to detect.
Note: The arguments for the API methods follow camelCase but for Python SDK underscore_case is followed.
Response:
KEY
TYPE
DESCRIPTION
success
Boolean
true if the call succeeded, false if there was an error